Intro to Statistics crystal mark Intro to Statistics crystal mark Intro to Statistics
  • Home
  • Syllabus
  • Schedule
    • Notes
      • Notes
      • Week 1 — Data, evidence, and statistics
      • Week 2 — Study design, bias, and causality
      • Week 3 — One-variable summaries
      • Week 4 — Comparing groups
      • Week 5 — Association
      • Week 6 — Confounding and multivariable thinking
      • Week 7 — First-half synthesis and midterm
      • Week 8 — Simple regression
      • Week 9 — Multiple and logistic regression, by interpretation
      • Week 10 — Probability as risk and diagnosis
      • Week 11 — Simulation-based inference
      • Week 12 — Classical hypothesis testing
      • Week 13 — Categorical outcomes
      • Week 14 — Meta-analysis and forest plots
      • Week 15 — Final review: What claim can we responsibly make?
    • Activities
      • Activities
    • Assignments
      • Assignments
    • Projects
      • Projects
    • Resources
      • Resources

    Wide illustrated course identity image for Intro to Statistics, showing an amber crystal cluster surrounded by introductory statistics graphics including distributions, uncertainty, scatterplots, center and spread, and sampling distributions.

    Intro to Statistics

    This site collects public-facing resources for Intro to Statistics — the concepts, activities, and interpretation-focused examples behind reasoning with data, evidence, models, and uncertainty. Curated by Matt Hester.

    It is a curated resource site, not a raw course archive. Anything syllabus- or roster-specific lives in the LMS; this site is what stays public.

    Where to start

    • Syllabus — public course overview and how this site relates to Blackboard
    • Schedule — week-by-week topic map with links to the weekly notes
    • Notes — weekly notes and conceptual write-ups
    • Activities — how in-class activities work (most are embedded in the weekly notes)
    • Assignments — index of the public weekly exit tickets
    • Projects — public project orientation
    • Resources — readings, tools, and links (IMS, ISLBS, and StatKey / simulation support)

    © 2026 Matt Hester · Intro to Statistics

    Matt Hester · matthewhester.com

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